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Manu Rathore
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Rfam: Reset-failure-aware-model for hfo2-based memristor to enhance the reliability of neuromorphic design
H Das, M Rathore, R Febbo, M Liehr, NC Cady, GS Rose
Proceedings of the Great Lakes Symposium on VLSI 2023, 281-286, 2023
92023
Reliability analysis of memristive reservoir computing architecture
M Rathore, R Febbo, A Foshie, SNB Tushar, H Das, GS Rose
Proceedings of the Great Lakes Symposium on VLSI 2023, 131-136, 2023
72023
A Compact Model for the Variable Switching Dynamics of HfO2 Memristors
M Rathore, RJ Weiss, MSA Shawkat, GS Rose, M Liehr, M Abedin, ...
2022 IEEE 65th International Midwest Symposium on Circuits and Systems …, 2022
42022
SpiCS-Net: Circuit Switched Network on Chip for Area-Efficient Spiking Recurrent Neural Networks
M Rathore, GS Rose
2024 37th International Conference on VLSI Design and 2024 23rd …, 2024
32024
Leveraging Sparsity of SRNNs for Reconfigurable and Resource-Efficient Network-on-Chip
M Rathore, GS Rose
2024 Neuro Inspired Computational Elements Conference (NICE), 1-8, 2024
12024
AnSpiCS-Net: Reconfigurable Network-on-Chip for Analog Spiking Recurrent Neural Networks
M Rathore, GS Rose
2024 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2024
2024
CMOS-Memristive Neuromorphic Architecture for Nonlinear Signal Processing
M Rathore
2024
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